为了给出图像类推算法的适用范围，提出了一种新的基于分形维数向量的图像的相似性度度量算子。
To give applicable range of image analogies algorithm, based on the fractal dimension vector, a new operator used to measure the image similarity is proposed.
传统的K-均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-means clustering algorithm, which usually relates to all attributes.
本文给出了一种基于骨架树的线性骨架拓扑相似性度量算法。
After that a linear skeleton topological similarity measure algorithm based on skeleton tree is detailed.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
提出了一种基于方向相似性度量的蚁群聚类算法。
The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS.
以豪斯多夫距离为相似性度量，提出了一种对光照及背景变化具有鲁棒性的快速准确多人脸检测算法。
This paper provides a fast and accurate algorithm of multi-face detection that is robust to the change of background and light.
以豪斯多夫距离为相似性度量，提出了一种对光照及背景变化具有鲁棒性的快速准确多人脸检测算法。
This paper provides a fast and accurate algorithm of multi-face detection that is robust to the change of background and light.
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